* Method: Number of variables is 3, size 19 countries, not overfitting and underfitting. Usestepwise to determine the appropriate model, which will then determine the statisticallysignificant variable.> vif = diag(solve(cor(x))) ; vifService import GDP_PPP Ur_pop1.0100082.2676542.259349Model 1 is a normal stepwise method after checking VIF, there is no multi-co linearity betweenthese variables and no need to delete any variable. From the regression results table, we cansee that R2 value is 0.7899, which is quite high, and the significance level is quite good and AICvalue is 142.7617. However, in the graph country number 9 (Japan) are near the line value 1,which can have effect on regression results.Model 2 is obtained by deleting Japan.> vif = diag(solve(cor(x))) ; vifGDP_PPP Ser.import Ur_pop4.202452 1.000479 4.202732Model 2, after deleting Japan, checking the multiple co linearity and stepwise method, model 2has R2 = 0.795 and AIC = 135.4048. Comparing model 1 and model 2, we can see that, model 2

3

can be better than model 1. However, the significant level of variables higher than 0.05, so wecan use logarithm function with GDP_PPP and stepwise method to find out model 3.Model 3 is created by stepwise method and use logarithm with GDP per capita

Internet users are defined as individuals who have access to the Internet at home, throughcomputers or mobile devices. As a result, the number of computers and mobile devices willaffect the number of internet users in each country.Moreover, in the 2000s, internet access was mostly via computers. This has led to an increase inthe import of computers and other communication devices, which has been linked to theproportion of Internet users in this period (model 1).In addition to importing, the percentage of computer users also depends on the proportion ofurban areas in the country. In countries with large urban areas, the proportion of internet userswill increase due to higher demand for work and living conditions.Today the use of the internet for everyday use and application is indispensable. A country thatsuccessfully applies technology applications to life will make the country more prosperous.People will have higher living standards and income. According to statistics, countries with highnumbers of internet users such as Australia, Hong Kong, Japan and Singapore are all highincome countries. So GDP and the number of internet users are closely related (model 3).